It’s 2025, and manual finance workflows are a thing of the past—or at least they should be. Enterprises and organizations in the healthcare, financial services, logistics, and retail sectors deal with thousands of invoices daily. Considering the high volume, automation is the obvious solution to ensure efficient and streamlined operations.

Discover how organizations can create better patient outcomes by using data to drive progress as we dive into the insights from our recent joint webinar with Slalom.

Imagine a user waiting several seconds for an app to load due to slow API responses. Frustration builds, user retention plummets, and scaling becomes a nightmare. API performance is a critical determinant of user experience and system reliability. Fast APIs ensure seamless interactions and support scalability. Among the strategies to enhance API speed, caching stands out as a powerful, cost-efficient approach.

When you want to expand your QA testing capabilities or resources, Testlio can recruit QA specialists from their large “crowd” of QA personnel. Testlio also provides a platform to manage your tests, test runs, and results. If you’re considering a platform-enabled QA service like Testlio, there are a handful of other noteworthy providers you should know. We’ll cover them in this piece.

In 2025, the financial services industry will undergo a seismic shift. We’ll see: Imagine near-perfect AI-driven document data extraction. Agentic AI that brings together automation technologies and human intelligence. Flexible data fabric networks that make faster data-driven insights possible without the burden of costly consolidation. For financial leaders, this will be a year of bold moves and transformative strategies.

To improve processes, businesses need both qualitative and quantitative data. Too many companies rely on qualitative data alone, using anecdotal evidence and intuition. But without seeing the numbers, how can you know if you’re meeting key performance indicators (KPIs)? How can you know for sure that your real-world operational processes are setting you up to meet your goals?

More than 80% of developers and business leaders say AI investments have already created the opportunity for new products or services, according to Kong’s 2024 API Impact Report. Clearly, AI has proven its value and place in the enterprise, but with new innovations come new potential vulnerabilities. But as organizations push forward into and navigate the rising risk of AI-enhanced threats and the adoption of AI tools and large language models (LLMs), what have tech leaders experienced?